code: def test_predict_fail():
      X = np.array([[1], [2], [3]])
      est = BlankClassifier(print_progress=0, random_seed=1)
      est._is_fitted = False
      with pytest.raises(AttributeError) as excinfo:
          est.predict(X)
          assert excinfo.value.message == (
              "Model is not " "fitted, yet."
          )
  
file_path: mlxtend/mlxtend/_base/tests/test_classifier.py
imports: import numpy
  import pytest
  from mlxtend._base import _BaseModel, _Classifier
label_desc: Use image node_id 7 for calling a global function with example usage: test_predict_fail() without return types